JobHabor
Sign inEarly access
Menu

Specialist (Data Science)

Raya · Egypt

About Raya

18 open jobs

Strong hiring record · median 41 days open

100100

Hiring signal

Actively hiring

Still listed on the employer's own board · How we score

All reasons

In its favour

  • Still listed on the employer's own board

Did you apply?

Specialist (Data Science) at Raya. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

  • End-to-end ownership of models — from framing new projects and data work through deployment, monitoring, and retraining, as well as owning models already in production.
  • Scoping and kicking off new projects — problem framing, data exploration, and initial modeling — not just maintaining what's already shipped.
  • Code review for the Data Science team: setting and enforcing standards for readability, testing, and maintainability across everyone's PRs, not just your own.
  • CI/CD for model and pipeline code — build, test, and deployment pipelines that let the team ship changes safely and often.
  • Production reliability — monitoring, alerting, and incident response for models you and your squad own once they're live.
  • Mentoring less senior team members on both modeling judgment and software engineering practice.
  • End-to-end ownership of models — from framing new projects and data work through deployment, monitoring, and retraining, as well as owning models already in production.
  • Scoping and kicking off new projects — problem framing, data exploration, and initial modeling — not just maintaining what's already shipped.
  • Code review for the Data Science team: setting and enforcing standards for readability, testing, and maintainability across everyone's PRs, not just your own.
  • CI/CD for model and pipeline code — build, test, and deployment pipelines that let the team ship changes safely and often.
  • Production reliability — monitoring, alerting, and incident response for models you and your squad own once they're live.
  • Mentoring less senior team members on both modeling judgment and software engineering practice.
  • Bachelor's degree in Computer Science, Statistics, Engineering, or a related quantitative field required; Master's a plus
  • 3-5 years of proven experience as a Data Analyst or Data Scientist and
  • Technical Requirements:
  • Strong computer science fundamentals: clean, well-tested, version-controlled code — not notebook-only work.
  • Hands-on CI/CD experience: building and maintaining pipelines (e.g. GitHub Actions, GitLab CI, Jenkins, or similar).
  • Real MLOps experience: model packaging, deployment, monitoring, and retraining in production — not just training a model and handing it off.
  • A versatile, generalist data science background: comfortable moving across problem types and owning a project from problem definition through modeling and evaluation, rather than specializing narrowly in one domain.
  • Core ML & statistics toolkit: regression and classification, tree-based ensembles (XGBoost/LightGBM/Random Forest), scorecard/GLM-style modeling, feature engineering, cross-validation, and rigorous model evaluation (AUC, KS, precision/recall, calibration).
  • Time-series and forecasting methods: classical approaches (ARIMA/exponential smoothing) as well as ML-based forecasting, with the judgment to choose the right method for the data and business question.
  • Strong data wrangling and cleaning skills: comfortable working with messy, incomplete, or inconsistent real-world data, building robust preprocessing pipelines, and validating data quality before it reaches a model.
  • Comfortable giving and receiving code review, and setting a bar for the rest of the team, not just meeting it.
  • Experience with a modern ML stack (Python, SQL, common ML/DL frameworks) — specific cloud provider experience is not required.

Skills

More jobs at Raya

All 18

Similar roles